Not necessarily but she might be thinking about old memories but it never hurts to talk to her about it. (:
I would think so.
Nothing specific. A horse may look at anything or anyone.
It means that he likes you. Either that or he's messing with your head. Do you like him/her? [yes I do, why?] <- by the asker
A self centered person is: * Talks about themselves constantly. * Does not listen to others well nor cares to listen to what others have to say and makes no bones about it. * Self centered people can cut off a conversation they are having with another person and start talking about themselves. * They can be vain about their looks and are constantly looking at themselves in any reflection they can manage to get too, or, constantly preening themselves while the world flies by. * They take, but don't give back. * They may flirt even if they have a boyfriend or are married. * They constantly need reassurance about their looks. * If they don't get enough attention they will sulk. * Basically everything in society is about 'them.'
he likes your hair
He was constantly getting himself into trouble in class. He was a talker, he talked way to much during class, he ate in class when he wasn't supposed to. and he sang while the teacher was talking.
If using 1 class per file as the standard, then it would be easier to understand that a partial class contains only a portion of the class definition in one file, while the other (may have more than one file) have the rest of the code belong to that class. One good example is the field definitions (data members) in one file, while the another file supply with behaviors that may not have anything to do with the data fields.
It means he obviously likes you!!! <3
That boy likes you very much...get to know him more and after a while try asking him out
No they cannot. Most likely they will gain weight by eating constantly not grow in height.
A class is a collection of similar objects while an object is the individual instance of a class.
minimizes the within-class variability while at the same time maximizing the between-class variability.